Proceedings Paper
Three-dimensional building roof boundary extraction using high-resolution aerial image and lidar data| Format | Member Price | Non-Member Price |
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Paper Abstract
This paper presents a semiautomatic method for rectilinear building roof boundary extraction, based on the integration of
high-resolution aerial image and LiDAR (Light Detection and Ranging) data. The proposed method is formulated as an
optimization problem, in which a snakes-based objective function is developed to represent the building roof boundaries
in an object-space coordinate system. Three-dimensional polylines representing building roof boundaries are obtained by
optimizing the objective function using the dynamic programming optimization technique. The results of our
experiments showed that the proposed method satisfactorily performed the task of extracting different building roof
boundaries from aerial image and LiDAR data.
Paper Details
Date Published: 23 October 2014
PDF: 6 pages
Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92440A (23 October 2014); doi: 10.1117/12.2066304
Published in SPIE Proceedings Vol. 9244:
Image and Signal Processing for Remote Sensing XX
Lorenzo Bruzzone, Editor(s)
PDF: 6 pages
Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92440A (23 October 2014); doi: 10.1117/12.2066304
Show Author Affiliations
A. P. Dal Poz, São Paulo State Univ. (Brazil)
Antonio J. Fazan, AMS Kepler (Brazil)
Published in SPIE Proceedings Vol. 9244:
Image and Signal Processing for Remote Sensing XX
Lorenzo Bruzzone, Editor(s)
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